Partial differential equations in the age of machine learning: a critical synthesis of classical, machine learning, and hybrid methods
Abstract Partial differential equations (PDEs) govern physical phenomena across the full range of scientific scales, yet their computational solution remains one of the defining challenges of modern science. This critical review examines two mature but epistemologically distinct paradigms for PDE solution, classical nu...
Mohammad Nooraiepour, Jakub Wiktor Both, Teeratorn Kadeethum et al.
· Artificial Intelligence Revi... · 1 citation